{"id":7399,"date":"2020-05-22T13:50:42","date_gmt":"2020-05-22T01:50:42","guid":{"rendered":"https:\/\/loonglist.com\/?post_type=project&p=7399"},"modified":"2021-04-25T15:57:12","modified_gmt":"2021-04-25T03:57:12","slug":"sentiment-analysis-helps-education-refined","status":"publish","type":"project","link":"https:\/\/loonglist.com\/cn\/investment-project\/sentiment-analysis-helps-education-refined\/","title":{"rendered":"Sentiment analysis helps education refined"},"content":{"rendered":"
Deep Learning on emotion detection<\/strong><\/h5>\n

Emotion Detection and Recognition from the text is a recent field of research that is closely related to Sentiment Analysis. Sentiment Analysis aims to detect positive, neutral, or negative feelings from the text, whereas Emotion Analysis aims to detect and recognize types of feelings through the expression of texts, such as anger, disgust, fear, happiness, sadness,<\/em> and surprise<\/em>. Emotion detection may have useful application<\/p>\n

Opinion mining<\/strong> (sometimes known as sentiment analysis<\/strong> or emotion AI<\/strong>) refers to the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study effective states and subjective information. <\/p><\/blockquote>\n

Some challenging examples<\/h5>\n
    \n
  • I do not dislike cabin cruisers. (Negation handling)<\/li>\n
  • Disliking watercraft is not really my thing. (Negation, inverted word order)<\/li>\n
  • Sometimes I really hate RIBs. (Adverbial modifies the sentiment)<\/li>\n
  • I’d really truly love going out in this weather! (Possibly sarcastic)<\/li>\n
  • Chris Craft is better looking than Limestone. (Two brand names, identifying a target of attitude is difficult).<\/li>\n
  • Chris Craft is better looking than Limestone, but Limestone projects seaworthiness and reliability. (Two attitudes, two brand names).<\/li>\n
  • The movie is surprising with plenty of unsettling plot twists. (Negative term used in a positive sense in certain domains).<\/li>\n
  • You should see their decadent dessert menu. (the Attitudinal term has shifted polarity recently in certain domains)<\/li>\n
  • I love my mobile but would not recommend it to any of my colleagues. (Qualified positive sentiment, difficult to categorize)<\/li>\n
  • Next week’s gig will be right koide9! (Newly minted terms can be highly attitudinal but volatile in polarity and often out of known vocabulary.)<\/li>\n<\/ul>\n

    The Hangzhou No. 11 Middle School is trialing the tech as part of its \u201cSmart Classroom Behaviour Management System.\u201d The three cameras placed above the blackboard analyze pupils by scanning them every 30 seconds and determining if they\u2019re happy, confused, angry, surprised, fearful, or disgusted. They are also designed to log six types of student behaviors: reading, writing, hand raising, standing up, listening to the teacher, and leaning on the desk.<\/p>\n

    Hangzhou Network reports that the system can alert a teacher if a student\u2019s attention level falls below a certain point. Not only can it be used as a teaching aid, but it\u2019s also able to monitor class attendances by checking students\u2019 faces against a database.<\/p>\n

    Unsurprisingly, the use of the cameras has raised privacy questions as they are recording minors, but school vice principle Zhang Guanchao says the images themselves are not saved and the results are stored on a local server instead of the cloud.<\/p>\n

    <\/figure>\n

    China already has around 170 million CCTV cameras, with 400 million more arriving over the next three years. Many of these feature some form of AI, including facial recognition.<\/p>\n<\/p>\n

    Machine Learning<\/u><\/strong><\/p>\n

    This approach, employes a machine-learning technique and diverse features to construct a classifier that can identify text that expresses sentiment. Nowadays, deep-learning methods are popular because they fit on data learning representations.<\/p>\n

    Lexicon-Based<\/u><\/strong><\/p>\n

    This method uses a variety of words annotated by polarity score, to decide the general assessment score of a given content. The strongest asset of this technique is that it does not require any training data, while its weakest point is that a large number of words and expressions are not included in sentiment lexicons.<\/p>\n

    Hybrid<\/u><\/strong><\/p>\n

    The combination of machine learning and lexicon-based approaches to address Sentiment Analysis is called Hybrid. Though not commonly used, this method usually produces more promising results than the approaches mentioned above.<\/p>\n

    Healthy Classrooms<\/p><\/blockquote>\n

    The implementation of \u201csocial-emotional learning\u201d is a method for developing the skills of emotional intelligence.  Why is this important, and how can it be achieved?  <\/p>\n

    Healthy classroom environments depend on the creation of a classroom culture that allows children to develop emotional intelligence competencies.  Emotional Intelligence (EQ) competencies are developed from the ability to be aware of one\u2019s own emotions and patterns of behavior (Self-Knowledge), to manage negative or destructive emotions effectively (Self-Management), and to share in positive relationships and experiences with others in a way that enhances learning and life satisfaction (Relationship Management).  Research suggests that life satisfaction derives from the development of Prosocial Behavior, the precursor of Empathy.<\/p>\n

    Observe your classroom<\/strong><\/p>\n

    Take a few moments each day and just observe your classroom or home environment.  Which children appear relaxed and happy?  Which children talk incessantly?  Which children are shy and retiring?  Get to know the patterns of behavior between your children and take notes on how they are relating to each other.  These notes will be valuable clues to their learning style, approach to learning, and the ability to manage their emotions and relationships.<\/p>\n

    Give choice\/Encourage Connection<\/strong><\/p>\n

    It is through the opportunity to make choices and evaluate the consequences of those choices in a safe environment that we learn about ourselves.  Classrooms and homes that allow children to make age-appropriate choices, within boundaries that allow feelings of safety, encourage self-efficacy and independence.<\/p>\n

    Emphasize emotional meaning\/Model the importance of emotions<\/strong><\/p>\n

    The Behaviorist tradition of psychology and the \u201cscientific\u201d approach to research have given individuals the idea that emotions are dangerous and to be avoided.  Nothing could be further from the truth.  It is through understanding the message of our emotions that we are empowered to act in ways that connect with our best judgment. In class and at home, adults must model this understanding of emotions by validating children\u2019s feelings and then helping them explore options in response to those feelings.<\/p>\n

    Create an active and cooperative atmosphere<\/strong><\/p>\n

    Competition builds stress and stressed brains have a difficult time learning.  Classrooms and homes that encourage a collaborative and cooperative approach to problem-solving allow children to approach learning in a calm and relaxed manner, opening the door to cognitive processing and memory.<\/p>\n

    Reframe mistakes<\/strong><\/p>\n

    An essential component of learning is to feel safe enough to make mistakes and be able to reframe them in a way that allows learning to occur.  Classrooms that allow children to learn to reframe mistakes lower stress and increase cognitive processing capability.  Reframing also builds self-efficacy and intrinsic motivation as children can evaluate how to correctly use their skills, as well as decide which new skills need to be developed.<\/p>\n

    Take Children\u2019s Aspirations Seriously<\/strong><\/p>\n

    When children have a goal, support them to pursue it.  A pursuit of personal goals increases self-efficacy and a sense of personal effectiveness.  Children who set and monitor progress toward their goals build an effective lifelong skill that enhances the development of executive function.<\/p><\/p>\n","protected":false},"excerpt":{"rendered":"

    When it comes to using facial recognition technology in surveillance systems, China leads the way. Now, one of the country\u2019s high schools is …<\/p>\n","protected":false},"author":6998,"featured_media":7400,"comment_status":"open","ping_status":"closed","template":"","yst_prominent_words":[],"acf":[],"_links":{"self":[{"href":"https:\/\/loonglist.com\/cn\/wp-json\/wp\/v2\/project\/7399"}],"collection":[{"href":"https:\/\/loonglist.com\/cn\/wp-json\/wp\/v2\/project"}],"about":[{"href":"https:\/\/loonglist.com\/cn\/wp-json\/wp\/v2\/types\/project"}],"author":[{"embeddable":true,"href":"https:\/\/loonglist.com\/cn\/wp-json\/wp\/v2\/users\/6998"}],"replies":[{"embeddable":true,"href":"https:\/\/loonglist.com\/cn\/wp-json\/wp\/v2\/comments?post=7399"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/loonglist.com\/cn\/wp-json\/wp\/v2\/media\/7400"}],"wp:attachment":[{"href":"https:\/\/loonglist.com\/cn\/wp-json\/wp\/v2\/media?parent=7399"}],"wp:term":[{"taxonomy":"yst_prominent_words","embeddable":true,"href":"https:\/\/loonglist.com\/cn\/wp-json\/wp\/v2\/yst_prominent_words?post=7399"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}